针对传统传播模型难以准确描述区块链社交网络中的信息传播规律的问题,基于区块链社交网络的信息传播特性,并考虑区块链社交网络的激励机制对信息传播的影响,利用演化博弈界定状态转移概率,提出了一种新的区块链社交网络信息传播模型。通过仿真实验分析了群体密度、状态转移概率和激励政策对信息传播的影响。实验结果表明,该模型能够准确描述区块链社交网络中信息的传播规律。所提模型可以有效抑制社交网络中劣质信息传播,进一步构建良好的网络舆论环境。
Aiming at the problem that the traditional propagation model is difficult to accurately describe the law of information propagation in the blockchain social network, based on the information propagation characteristics of blockchain social networks, this paper considers the influence of the incentive mechanism of blockchain social networks on information propagation, uses evolutionary games to define the state transition probability and proposes a new blockchain social network information propagation model. The influence of group density, state transition probability, and incentive policies on information propagation is analyzed through simulation experiments. Experimental results show that the model can accurately describe the law of information propagation in blockchain social networks. The model proposed in this paper can effectively restrain the propagation of low-quality information in social networks and further build a good network public opinion environment.
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